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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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more information, please contact Hanneke Vlaming at h.vlaming@uu.nl . Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl . The selection process
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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, materials and their condition. Second, simulation of pulse propagation in cables with variable parameters quantified in experimental studies. Third, utilizing signal processing and machine learning to develop
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of Europe’s leading academic departments of population health sciences. The post will suit researchers interested in understanding computers energy usage to improve carbon footprint monitoring and reduce the
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. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy including any English language requirements. Enrol as a full‑time, internal student (unless approval for part-time and/or
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scripts e.g. in github or copy of a html rendered from a markdown (if available) Names and contact details of 3 references (name, relation to candidate, e-mail, and telephone number) and letters
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly